Image Processing Method and Apparatus, and Non-Transitory Computer Readable Storage Medium

1. An image processing method, comprising: acquiring an exposure duration of a current video frame and at least one motion component of an image processing apparatus corresponding to at least one direction within the exposure duration of the current video frame; performing a first noise reduction operation on the current video frame in a two-dimensional space domain in response to a first motion component of the at least one motion component being greater than a preset motion component threshold; and performing a second noise reduction operation on the current video frame in a three-dimensional space domain in response to the at least one motion component being less than the preset motion component threshold.

2. The image processing method of claim 1, wherein performing the first noise reduction operation on the current video frame in the two-dimensional space domain in response to the first motion component of the at least one motion component being greater than the preset motion component threshold, comprises: acquiring at least one motion radian corresponding to the at least one direction in response to the first motion component being greater than the preset motion component threshold; and performing the first noise reduction operation on the current video frame in the two-dimensional space domain in response to a first motion radian of the at least one motion radian being greater than a preset radian threshold.

3. The image processing method of claim 2, further comprising: prohibiting the current video frame from being fused with an adjacent historical video frame and an adjacent next video frame in response to satisfying at least one of the following conditions: the at least one motion component being greater than the preset motion component threshold; and the at least one motion radian being greater than the preset radian threshold.

4. The image processing method of claim 2, further comprising: performing the second noise reduction operation on the current video frame by performing a multi-frame alignment on the current video frame with an adjacent historical video frame and an adjacent next video frame in response to satisfying at least one of the following conditions: the first motion component being less than the preset motion component threshold; and the first motion radian being less than the preset radian threshold.

5. The image processing method of claim 1, wherein acquiring at least one motion component corresponding to at least one direction within the exposure duration, comprises: dividing the exposure duration into a set of time samples; acquiring at least one set of angular-velocity-component samples in at least one dimension during the set of time samples, wherein each of the at least one dimension corresponds to one of the at least one set of angular-velocity-component samples during the set of time samples; determining an angular velocity component in the at least one dimension within the exposure duration based on the at least one set of angular-velocity-component samples; and determining the angular velocity component in the at least one dimension as the at least one motion component corresponding to the at least one direction.

6. The image processing method of claim 1, wherein performing the second noise reduction operation on the current video frame in the three-dimensional space domain in response to the at least one motion component being less than the preset motion component threshold further comprises: performing the second noise reduction operation on the current video frame by aligning the current video frame with an adjacent historical video frame and an adjacent next video frame in response to all of the at least one motion component being less than the preset motion component threshold.

7. The image processing method of claim 1, wherein the at least one motion component comprises an angular velocity component and an acceleration component.

8. The image processing method of claim 7, further comprising: in response to the at least one motion component comprising the angular velocity component in at least one dimension, determining a motion amplitude within the exposure duration based on an integral of an absolute value of the angular velocity component.

9. The image processing method of claim 1, wherein acquiring the exposure duration of the current video frame and at least one motion component corresponding to at least one direction within the exposure duration, comprises: synchronizing the exposure duration of the current video frame and angular velocity data in first, second, and third directions within the exposure duration, wherein the first direction is substantially perpendicular to the second direction and the third direction, and the second direction is substantially perpendicular to the third direction; and acquiring motion velocity values in the first, second, and third directions according to the angular velocity data in the first, second, and third directions within the exposure duration.

10. The image processing method of claim 9, wherein performing the first noise reduction operation on the current video frame in the two-dimensional space domain in response to the first motion component of the at least one motion component being greater than the preset motion component threshold, comprises: acquiring motion angles in the first, second, and third directions in response to at least one of the motion velocity values among the motion velocity values in the first, second, and third directions being greater than a preset motion velocity value threshold; and performing the first noise reduction operation on the current video frame in the two-dimensional space domain in response to at least one of the motion angles in the first, second, and third directions being greater than a preset motion angle threshold.

11. An image processing apparatus, comprising: a processor, a memory storing instructions executable by the processor, a communication interface, and a bus configured to connect the processor, the memory, and the communication interface, wherein when the instructions are executed, the processor performs an image processing method, the method comprising: acquiring an exposure duration of a current video frame and at least one motion component of the image processing apparatus corresponding to at least one direction within the exposure duration of the current video frame; performing a first noise reduction operation on the current video frame in a two-dimensional space domain in response to a first motion component of the at least one motion component being greater than a preset motion component threshold; and performing a second noise reduction operation on the current video frame in a three-dimensional space domain in response to the at least one motion component being less than the preset motion component threshold.

12. The image processing apparatus of claim 11, wherein performing the first noise reduction operation on the current video frame in the two-dimensional space domain in response to the first motion component of the at least one motion component being greater than a preset motion component threshold, comprises: acquiring at least one motion radian corresponding to the at least one direction in response to the first motion component being greater than the preset motion component threshold; and performing the first noise reduction operation on the current video frame in the two-dimensional space domain in response to a first motion radian of the at least one motion radian being greater than a preset radian threshold.

13. The image processing apparatus of claim 12, wherein the method further comprises: prohibiting the current video frame from being fused with an adjacent historical video frame and an adjacent next video frame in response to satisfying at least one of the following conditions: the at least one motion component being greater than the preset motion component threshold; and the at least one motion radian being greater than the preset radian threshold.

14. The image processing apparatus of claim 12, wherein the method further comprises: performing the second noise reduction operation on the current video frame by performing a multi-frame alignment on the current video frame with an adjacent historical video frame and an adjacent next video frame in response to satisfying at least one of the following conditions: the first motion component being less than the preset motion component threshold; and the first motion radian being less than the preset radian threshold.

15. The image processing apparatus of claim 11, wherein acquiring at least one motion component corresponding to at least one direction within the exposure duration, comprises: dividing the exposure duration into a set of time samples; acquiring at least one set of angular-velocity-component samples in at least one dimension during the set of time samples, wherein each of the at least one dimension corresponds to one of the at least one set of angular-velocity-component samples during the set of time samples; determining an angular velocity component in the at least one dimension within the exposure duration based on the at least one set of angular-velocity-component samples; and determining the angular velocity component in the at least one dimension as the at least one motion component corresponding to the at least one direction.

16. A non-transitory computer-readable storage medium, storing a program applied to an image processing apparatus, wherein the program is executed by a processor to implement an image processing method, the method comprising: acquiring an exposure duration of a current video frame and at least one motion component of the image processing apparatus corresponding to at least one direction within the exposure duration of the current video frame; performing a first noise reduction operation on the current video frame in a two-dimensional space domain in response to a first motion component of the at least one motion component being greater than a preset motion component threshold; and performing a second noise reduction operation on the current video frame in a three-dimensional space domain in response to the at least one motion component being less than the preset motion component threshold.

17. The non-transitory computer-readable storage medium of claim 16, wherein performing the first noise reduction operation on the current video frame the two-dimensional space domain in response to the first motion component of the at least one motion component being greater than the preset motion component threshold, comprises: acquiring at least one motion radian corresponding to the at least one direction in response to the first motion component being greater than the preset motion component threshold; and performing the first noise reduction operation on the current video frame in the two-dimensional space domain in response to a first motion radian of the at least one motion radian being greater than a preset radian threshold.

18. The non-transitory computer-readable storage medium of claim 17, wherein the method further comprises: prohibiting the current video frame from being fused with an adjacent historical video frame and an adjacent next video frame in response to satisfying at least one of the following conditions: the at least one motion component being greater than the preset motion component threshold; and the at least one motion radian being greater than the preset radian threshold.

19. The non-transitory computer-readable storage medium of claim 17, wherein the method further comprises: performing the second noise reduction operation on the current video frame by performing a multi-frame alignment on the current video frame with an adjacent historical video frame and an adjacent next video frame in response to satisfying at least one of the following conditions: the first motion component is less than the preset motion component threshold; and the first motion radian is less than the preset radian threshold.

20. The non-transitory computer-readable storage medium of claim 16, wherein acquiring at least one motion component corresponding to at least one direction within the exposure duration, comprises: dividing the exposure duration into a set of time samples; acquiring at least one set of angular-velocity-component samples in at least one dimension during the set of time samples, wherein each of the at least one dimension corresponds to one of the at least one set of angular-velocity-component samples during the set of time samples; determining an angular velocity component in the at least one dimension within the exposure duration based on the at least one set of angular-velocity-component samples; and determining the angular velocity component in the at least one dimension as the at least one motion component corresponding to the at least one direction.